Meta Llama 3 8B Instruct Fp8 by FriendliAI

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  8-bit   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   En   Facebook   Fp8   Instruct   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors

Meta Llama 3 8B Instruct Fp8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Fp8 (FriendliAI/Meta-Llama-3-8B-Instruct-fp8)
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Meta Llama 3 8B Instruct Fp8 Parameters and Internals

Model Type 
llama
Additional Notes 
Quantized to FP8 by FriendliAI for improved inference efficiency.
Training Details 
Data Sources:
publicly available online data
Data Volume:
over 15 trillion tokens
Methodology:
supervised fine-tuning and reinforcement learning with human feedback
Context Length:
8000
Hardware Used:
H100-80GB GPU
Model Architecture:
Auto-regressive transformer architecture
Input Output 
Input Format:
text
Output Format:
text, code
LLM NameMeta Llama 3 8B Instruct Fp8
Repository ๐Ÿค—https://huggingface.co/FriendliAI/Meta-Llama-3-8B-Instruct-fp8 
Model NameLlama 3 8B Instruct
Model CreatorMeta Llama 3
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM9.1 GB
Updated2025-09-07
MaintainerFriendliAI
Model Typellama
Instruction-BasedYes
Model Files  9.1 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than FriendliAI/Meta-Llama-3-8B-Instruct-fp8.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124